LEARN / REFERENCE

AI agent governance, explained.

Plain, precise reference material on governing autonomous agents: what governance is, how it differs from model guardrails, and what enforcement, budgets, and verifiable evidence actually require. Written by the team building FeirOS.

01

What is AI agent governance?

The definition, why it became urgent, how it differs from guardrails, and the six properties a real governance layer needs.

02

AI agent audit trails: what proof actually requires

Why ordinary logs fail an audit, the five properties of real evidence, and a test you can run on your stack today.

03

Why AI agents should never hold credentials

Stolen credentials start more breaches than anything else. The brokered-authority pattern that keeps secrets out of the agent entirely.

04

Budgets for autonomous agents: why bounded overshoot is the honest model

What actually enforces a spending cap, how to calculate the overshoot window, and when a hard pre-allocated ceiling is worth its cost.

05

Guardrails vs. governance: what each one actually stops

Guardrails shape what a model says; governance controls what an agent does. A side-by-side comparison and a decision guide.